Profiling Report - IMBD Clean Dataset

Dataset statistics

Number of variables	25
Number of observations	4703
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	955.3 KiB
Average record size in memory	208.0 B

Variable types

Text	7
Numeric	16
Categorical	2

Alerts

`content_rating` is highly imbalanced (50.7%)	Imbalance
`budget` is highly skewed (γ1 = 49.02395721)	Skewed
`director_fb_likes` has 825 (17.5%) zeros	Zeros
`actor_3_fb_likes` has 66 (1.4%) zeros	Zeros
`facenumber_in_poster` has 2019 (42.9%) zeros	Zeros
`movie_fb_likes` has 2086 (44.4%) zeros	Zeros

Reproduction

Analysis started	2024-04-11 08:27:22.236278
Analysis finished	2024-04-11 08:28:10.481096
Duration	48.24 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

director_name
Text

Distinct	2244
Distinct (%)	47.7%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	32
Median length	24
Mean length	13.085477
Min length	3

Characters and Unicode

Total characters	61541
Distinct characters	76
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1378 ?
Unique (%)	29.3%

Sample

1st row	James Cameron
2nd row	Gore Verbinski
3rd row	Sam Mendes
4th row	Christopher Nolan
5th row	Andrew Stanton

Value	Count	Frequency (%)
john	173	1.8%
david	143	1.5%
michael	123	1.3%
james	85	0.9%
peter	83	0.8%
robert	81	0.8%
richard	79	0.8%
paul	73	0.7%
scott	65	0.7%
steven	57	0.6%
Other values (2797)	8812	90.2%

Most occurring characters

Value	Count	Frequency (%)
e	5822	9.5%
	5071	8.2%
a	4984	8.1%
n	4437	7.2%
r	4250	6.9%
o	3622	5.9%
i	3505	5.7%
l	2831	4.6%
t	2213	3.6%
s	1985	3.2%
Other values (66)	22821	37.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61541	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5822	9.5%
	5071	8.2%
a	4984	8.1%
n	4437	7.2%
r	4250	6.9%
o	3622	5.9%
i	3505	5.7%
l	2831	4.6%
t	2213	3.6%
s	1985	3.2%
Other values (66)	22821	37.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61541	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5822	9.5%
	5071	8.2%
a	4984	8.1%
n	4437	7.2%
r	4250	6.9%
o	3622	5.9%
i	3505	5.7%
l	2831	4.6%
t	2213	3.6%
s	1985	3.2%
Other values (66)	22821	37.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61541	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5822	9.5%
	5071	8.2%
a	4984	8.1%
n	4437	7.2%
r	4250	6.9%
o	3622	5.9%
i	3505	5.7%
l	2831	4.6%
t	2213	3.6%
s	1985	3.2%
Other values (66)	22821	37.1%

num_critic_for_reviews
Real number (ℝ)

Distinct	527
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	145.771

Minimum	1
Maximum	813
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	1
5-th percentile	13
Q1	57
median	117
Q3	200
95-th percentile	391
Maximum	813
Range	812
Interquartile range (IQR)	143

Descriptive statistics

Standard deviation	120.99175
Coefficient of variation (CV)	0.83001251
Kurtosis	2.8708933
Mean	145.771
Median Absolute Deviation (MAD)	68
Skewness	1.5050244
Sum	685561
Variance	14639.004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	32	0.7%
43	30	0.6%
63	29	0.6%
25	29	0.6%
97	28	0.6%
50	28	0.6%
29	28	0.6%
16	28	0.6%
64	28	0.6%
112	28	0.6%
Other values (517)	4415	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	21	0.4%
2	17	0.4%
3	9	0.2%
4	14	0.3%
5	26	0.6%
6	15	0.3%
7	18	0.4%
8	24	0.5%
9	24	0.5%
10	26	0.6%

Value	Count	Frequency (%)
813	1	< 0.1%
775	1	< 0.1%
765	1	< 0.1%
750	2	< 0.1%
739	1	< 0.1%
738	1	< 0.1%
733	1	< 0.1%
723	1	< 0.1%
712	1	< 0.1%
703	1	< 0.1%

duration
Real number (ℝ)

Distinct	164
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	108.63066

Minimum	14
Maximum	330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	14
5-th percentile	84
Q1	94
median	104
Q3	118
95-th percentile	146
Maximum	330
Range	316
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	22.562204
Coefficient of variation (CV)	0.20769646
Kurtosis	11.779179
Mean	108.63066
Median Absolute Deviation (MAD)	11
Skewness	2.2280838
Sum	510890
Variance	509.05305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	143	3.0%
100	134	2.8%
98	130	2.8%
101	130	2.8%
97	125	2.7%
93	120	2.6%
99	120	2.6%
94	120	2.6%
95	119	2.5%
106	108	2.3%
Other values (154)	3454	73.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	< 0.1%
20	1	< 0.1%
25	1	< 0.1%
34	1	< 0.1%
37	1	< 0.1%
41	1	< 0.1%
45	2	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
53	1	< 0.1%

Value	Count	Frequency (%)
330	1	< 0.1%
325	1	< 0.1%
300	1	< 0.1%
293	1	< 0.1%
289	1	< 0.1%
280	1	< 0.1%
271	1	< 0.1%
270	1	< 0.1%
251	2	< 0.1%
240	2	< 0.1%

director_fb_likes
Real number (ℝ)

ZEROS

Distinct	429
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	710.17223

Minimum	0
Maximum	23000
Zeros	825
Zeros (%)	17.5%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8
median	52
Q3	209
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	201

Descriptive statistics

Standard deviation	2861.8195
Coefficient of variation (CV)	4.0297542
Kurtosis	26.029513
Mean	710.17223
Median Absolute Deviation (MAD)	52
Skewness	5.1181934
Sum	3339940
Variance	8190010.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	825	17.5%
3	65	1.4%
6	61	1.3%
7	58	1.2%
11	56	1.2%
2	56	1.2%
4	54	1.1%
10	51	1.1%
12	48	1.0%
5	48	1.0%
Other values (419)	3381	71.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	825	17.5%
2	56	1.2%
3	65	1.4%
4	54	1.1%
5	48	1.0%
6	61	1.3%
7	58	1.2%
8	47	1.0%
9	46	1.0%
10	51	1.1%

Value	Count	Frequency (%)
23000	1	< 0.1%
22000	8	0.2%
21000	10	0.2%
18000	4	0.1%
17000	20	0.4%
16000	28	0.6%
15000	2	< 0.1%
14000	30	0.6%
13000	26	0.6%
12000	17	0.4%

actor_3_fb_likes
Real number (ℝ)

ZEROS

Distinct	905
Distinct (%)	19.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	662.18222

Minimum	0
Maximum	23000
Zeros	66
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	141
median	383
Q3	642
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	501

Descriptive statistics

Standard deviation	1686.4062
Coefficient of variation (CV)	2.5467404
Kurtosis	57.760531
Mean	662.18222
Median Absolute Deviation (MAD)	251
Skewness	7.1083848
Sum	3114243
Variance	2843966
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	123	2.6%
0	66	1.4%
11000	29	0.6%
2000	27	0.6%
3000	26	0.6%
3	22	0.5%
826	21	0.4%
7	21	0.4%
249	19	0.4%
322	18	0.4%
Other values (895)	4331	92.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	66	1.4%
2	16	0.3%
3	22	0.5%
4	18	0.4%
5	12	0.3%
6	17	0.4%
7	21	0.4%
8	15	0.3%
9	14	0.3%
10	12	0.3%

Value	Count	Frequency (%)
23000	2	< 0.1%
20000	1	< 0.1%
19000	4	0.1%
17000	1	< 0.1%
16000	3	0.1%
15000	1	< 0.1%
14000	6	0.1%
13000	5	0.1%
12000	7	0.1%
11000	29	0.6%

actor_2_name
Text

Distinct	2824
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	28
Median length	25
Mean length	13.069105
Min length	3

Characters and Unicode

Total characters	61464
Distinct characters	78
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1928 ?
Unique (%)	41.0%

Sample

1st row	Joel David Moore
2nd row	Orlando Bloom
3rd row	Rory Kinnear
4th row	Christian Bale
5th row	Samantha Morton

Value	Count	Frequency (%)
michael	94	1.0%
david	53	0.5%
john	53	0.5%
james	50	0.5%
tom	48	0.5%
scott	48	0.5%
jason	42	0.4%
robert	41	0.4%
kevin	39	0.4%
adam	36	0.4%
Other values (3619)	9221	94.8%

Most occurring characters

Value	Count	Frequency (%)
e	5801	9.4%
a	5523	9.0%
	5022	8.2%
n	4439	7.2%
r	4122	6.7%
i	3777	6.1%
o	3405	5.5%
l	3204	5.2%
t	2192	3.6%
s	2018	3.3%
Other values (68)	21961	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61464	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5801	9.4%
a	5523	9.0%
	5022	8.2%
n	4439	7.2%
r	4122	6.7%
i	3777	6.1%
o	3405	5.5%
l	3204	5.2%
t	2192	3.6%
s	2018	3.3%
Other values (68)	21961	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61464	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5801	9.4%
a	5523	9.0%
	5022	8.2%
n	4439	7.2%
r	4122	6.7%
i	3777	6.1%
o	3405	5.5%
l	3204	5.2%
t	2192	3.6%
s	2018	3.3%
Other values (68)	21961	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61464	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5801	9.4%
a	5523	9.0%
	5022	8.2%
n	4439	7.2%
r	4122	6.7%
i	3777	6.1%
o	3405	5.5%
l	3204	5.2%
t	2192	3.6%
s	2018	3.3%
Other values (68)	21961	35.7%

actor_1_fb_likes
Real number (ℝ)

Distinct	843
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6817.3957

Minimum	0
Maximum	640000
Zeros	14
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	116.1
Q1	637
median	1000
Q3	11000
95-th percentile	24000
Maximum	640000
Range	640000
Interquartile range (IQR)	10363

Descriptive statistics

Standard deviation	14982.445
Coefficient of variation (CV)	2.1976786
Kurtosis	720.98565
Mean	6817.3957
Median Absolute Deviation (MAD)	790
Skewness	19.549467
Sum	32062212
Variance	2.2447365 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	417	8.9%
11000	207	4.4%
2000	187	4.0%
3000	148	3.1%
12000	133	2.8%
13000	126	2.7%
14000	121	2.6%
10000	109	2.3%
18000	108	2.3%
22000	79	1.7%
Other values (833)	3068	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.3%
2	6	0.1%
3	2	< 0.1%
4	2	< 0.1%
5	4	0.1%
6	3	0.1%
7	2	< 0.1%
9	2	< 0.1%
11	2	< 0.1%
12	3	0.1%

Value	Count	Frequency (%)
640000	1	< 0.1%
260000	2	< 0.1%
164000	2	< 0.1%
137000	2	< 0.1%
87000	8	0.2%
77000	1	< 0.1%
49000	27	0.6%
46000	1	< 0.1%
45000	5	0.1%
44000	2	< 0.1%

gross
Real number (ℝ)

Distinct	4146
Distinct (%)	88.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45085643

Minimum	162
Maximum	7.6050585 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	162
5-th percentile	100669.6
Q1	6494675
median	24848292
Q3	54548936
95-th percentile	1.7099911 × 10⁸
Maximum	7.6050585 × 10⁸
Range	7.6050568 × 10⁸
Interquartile range (IQR)	48054262

Descriptive statistics

Standard deviation	64148103
Coefficient of variation (CV)	1.4228055
Kurtosis	16.705866
Mean	45085643
Median Absolute Deviation (MAD)	20807704
Skewness	3.3289438
Sum	2.1203778 × 10¹¹
Variance	4.1149791 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24848292	458	9.7%
5000000	4	0.1%
3000000	3	0.1%
218051260	3	0.1%
177343675	3	0.1%
8000000	3	0.1%
13401683	2	< 0.1%
800000	2	< 0.1%
22494487	2	< 0.1%
21028755	2	< 0.1%
Other values (4136)	4221	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
162	1	< 0.1%
423	1	< 0.1%
607	1	< 0.1%
703	1	< 0.1%
721	1	< 0.1%
728	1	< 0.1%
828	1	< 0.1%
1029	1	< 0.1%
1100	1	< 0.1%
1111	1	< 0.1%

Value	Count	Frequency (%)
760505847	1	< 0.1%
658672302	1	< 0.1%
652177271	1	< 0.1%
623279547	1	< 0.1%
533316061	1	< 0.1%
474544677	1	< 0.1%
460935665	1	< 0.1%
458991599	1	< 0.1%
448130642	1	< 0.1%
436471036	1	< 0.1%

genres
Text

Distinct	878
Distinct (%)	18.7%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	64
Median length	53
Mean length	20.563045
Min length	5

Characters and Unicode

Total characters	96708
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	482 ?
Unique (%)	10.2%

Sample

1st row	Action\|Adventure\|Fantasy\|Sci-Fi
2nd row	Action\|Adventure\|Fantasy
3rd row	Action\|Adventure\|Thriller
4th row	Action\|Thriller
5th row	Action\|Adventure\|Sci-Fi

Value	Count	Frequency (%)
drama	209	4.4%
comedy	186	4.0%
comedy\|drama\|romance	182	3.9%
comedy\|drama	180	3.8%
comedy\|romance	150	3.2%
drama\|romance	147	3.1%
crime\|drama\|thriller	94	2.0%
horror	64	1.4%
action\|crime\|thriller	63	1.3%
action\|crime\|drama\|thriller	63	1.3%
Other values (868)	3365	71.6%

Most occurring characters

Value	Count	Frequency (%)
r	9885	10.2%
\|	8982	9.3%
a	8493	8.8%
e	7510	7.8%
m	6934	7.2%
i	6237	6.4%
o	5991	6.2%
y	4360	4.5%
n	4267	4.4%
t	3808	3.9%
Other values (23)	30241	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	96708	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	9885	10.2%
\|	8982	9.3%
a	8493	8.8%
e	7510	7.8%
m	6934	7.2%
i	6237	6.4%
o	5991	6.2%
y	4360	4.5%
n	4267	4.4%
t	3808	3.9%
Other values (23)	30241	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	96708	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	9885	10.2%
\|	8982	9.3%
a	8493	8.8%
e	7510	7.8%
m	6934	7.2%
i	6237	6.4%
o	5991	6.2%
y	4360	4.5%
n	4267	4.4%
t	3808	3.9%
Other values (23)	30241	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	96708	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	9885	10.2%
\|	8982	9.3%
a	8493	8.8%
e	7510	7.8%
m	6934	7.2%
i	6237	6.4%
o	5991	6.2%
y	4360	4.5%
n	4267	4.4%
t	3808	3.9%
Other values (23)	30241	31.3%

actor_1_name
Text

Distinct	1928
Distinct (%)	41.0%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	27
Median length	24
Mean length	13.182011
Min length	4

Characters and Unicode

Total characters	61995
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1237 ?
Unique (%)	26.3%

Sample

1st row	CCH Pounder
2nd row	Johnny Depp
3rd row	Christoph Waltz
4th row	Tom Hardy
5th row	Daryl Sabara

Value	Count	Frequency (%)
robert	106	1.1%
tom	90	0.9%
michael	83	0.9%
de	56	0.6%
jason	53	0.5%
steve	50	0.5%
james	50	0.5%
bruce	49	0.5%
jr	48	0.5%
niro	48	0.5%
Other values (2681)	9114	93.5%

Most occurring characters

Value	Count	Frequency (%)
e	5828	9.4%
a	5320	8.6%
	5044	8.1%
n	4504	7.3%
r	4010	6.5%
i	3953	6.4%
o	3645	5.9%
l	3086	5.0%
t	2427	3.9%
s	2194	3.5%
Other values (65)	21984	35.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5828	9.4%
a	5320	8.6%
	5044	8.1%
n	4504	7.3%
r	4010	6.5%
i	3953	6.4%
o	3645	5.9%
l	3086	5.0%
t	2427	3.9%
s	2194	3.5%
Other values (65)	21984	35.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5828	9.4%
a	5320	8.6%
	5044	8.1%
n	4504	7.3%
r	4010	6.5%
i	3953	6.4%
o	3645	5.9%
l	3086	5.0%
t	2427	3.9%
s	2194	3.5%
Other values (65)	21984	35.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5828	9.4%
a	5320	8.6%
	5044	8.1%
n	4504	7.3%
r	4010	6.5%
i	3953	6.4%
o	3645	5.9%
l	3086	5.0%
t	2427	3.9%
s	2194	3.5%
Other values (65)	21984	35.5%

movie_title
Text

Distinct	4624
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	87
Median length	59
Mean length	16.306613
Min length	2

Characters and Unicode

Total characters	76690
Distinct characters	92
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4547 ?
Unique (%)	96.7%

Sample

1st row	Avatar
2nd row	Pirates of the Caribbean: At World's End
3rd row	Spectre
4th row	The Dark Knight Rises
5th row	John Carter

Value	Count	Frequency (%)
the	1499	11.5%
of	449	3.4%
a	173	1.3%
and	136	1.0%
in	115	0.9%
2	103	0.8%
to	98	0.8%
	75	0.6%
man	64	0.5%
love	53	0.4%
Other values (4679)	10265	78.8%

Most occurring characters

Value	Count	Frequency (%)
	8327	10.9%
e	7367	9.6%
	4703	6.1%
a	4512	5.9%
o	4351	5.7%
r	3863	5.0%
n	3846	5.0%
i	3689	4.8%
t	3562	4.6%
s	2816	3.7%
Other values (82)	29654	38.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	76690	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	8327	10.9%
e	7367	9.6%
	4703	6.1%
a	4512	5.9%
o	4351	5.7%
r	3863	5.0%
n	3846	5.0%
i	3689	4.8%
t	3562	4.6%
s	2816	3.7%
Other values (82)	29654	38.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	76690	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	8327	10.9%
e	7367	9.6%
	4703	6.1%
a	4512	5.9%
o	4351	5.7%
r	3863	5.0%
n	3846	5.0%
i	3689	4.8%
t	3562	4.6%
s	2816	3.7%
Other values (82)	29654	38.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	76690	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	8327	10.9%
e	7367	9.6%
	4703	6.1%
a	4512	5.9%
o	4351	5.7%
r	3863	5.0%
n	3846	5.0%
i	3689	4.8%
t	3562	4.6%
s	2816	3.7%
Other values (82)	29654	38.7%

num_voted_users
Real number (ℝ)

Distinct	4593
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87783.318

Minimum	5
Maximum	1689764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	5
5-th percentile	1099.4
Q1	10774
median	37952
Q3	101938
95-th percentile	343205.1
Maximum	1689764
Range	1689759
Interquartile range (IQR)	91164

Descriptive statistics

Standard deviation	140733.28
Coefficient of variation (CV)	1.6031894
Kurtosis	23.651174
Mean	87783.318
Median Absolute Deviation (MAD)	32809
Skewness	3.9557772
Sum	4.1284494 × 10⁸
Variance	1.9805856 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3119	3	0.1%
2541	3	0.1%
3665	3	0.1%
9903	2	< 0.1%
6069	2	< 0.1%
80639	2	< 0.1%
25870	2	< 0.1%
1231	2	< 0.1%
3943	2	< 0.1%
53	2	< 0.1%
Other values (4583)	4680	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	< 0.1%
19	1	< 0.1%
28	1	< 0.1%
37	1	< 0.1%
40	1	< 0.1%
47	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
53	2	< 0.1%
59	1	< 0.1%

Value	Count	Frequency (%)
1689764	1	< 0.1%
1676169	1	< 0.1%
1468200	1	< 0.1%
1347461	1	< 0.1%
1324680	1	< 0.1%
1251222	1	< 0.1%
1238746	1	< 0.1%
1217752	1	< 0.1%
1215718	1	< 0.1%
1155770	1	< 0.1%

cast_total_fb_likes
Real number (ℝ)

Distinct	3841
Distinct (%)	81.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10073.469

Minimum	0
Maximum	656730
Zeros	14
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	243
Q1	1500.5
median	3227
Q3	14462.5
95-th percentile	37605.9
Maximum	656730
Range	656730
Interquartile range (IQR)	12962

Descriptive statistics

Standard deviation	18234.161
Coefficient of variation (CV)	1.8101174
Kurtosis	372.68719
Mean	10073.469
Median Absolute Deviation (MAD)	2418
Skewness	12.956554
Sum	47375524
Variance	3.3248463 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14	0.3%
2020	6	0.1%
29	5	0.1%
673	5	0.1%
1044	5	0.1%
2321	4	0.1%
1936	4	0.1%
1761	4	0.1%
2486	4	0.1%
1136	4	0.1%
Other values (3831)	4648	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.3%
2	4	0.1%
4	2	< 0.1%
5	3	0.1%
6	2	< 0.1%
7	1	< 0.1%
8	2	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
15	2	< 0.1%

Value	Count	Frequency (%)
656730	1	< 0.1%
303717	1	< 0.1%
283939	1	< 0.1%
263584	1	< 0.1%
170118	1	< 0.1%
140268	1	< 0.1%
137712	1	< 0.1%
120797	1	< 0.1%
108016	1	< 0.1%
106759	1	< 0.1%

actor_3_name
Text

Distinct	3312
Distinct (%)	70.4%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	29
Median length	25
Mean length	13.072932
Min length	3

Characters and Unicode

Total characters	61482
Distinct characters	81
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2494 ?
Unique (%)	53.0%

Sample

1st row	Wes Studi
2nd row	Jack Davenport
3rd row	Stephanie Sigman
4th row	Joseph Gordon-Levitt
5th row	Polly Walker

Value	Count	Frequency (%)
michael	79	0.8%
john	71	0.7%
david	68	0.7%
james	64	0.7%
robert	46	0.5%
kevin	39	0.4%
paul	38	0.4%
tom	38	0.4%
peter	37	0.4%
steve	36	0.4%
Other values (4097)	9226	94.7%

Most occurring characters

Value	Count	Frequency (%)
e	5818	9.5%
a	5598	9.1%
	5039	8.2%
n	4302	7.0%
r	3921	6.4%
i	3719	6.0%
o	3333	5.4%
l	3291	5.4%
t	2209	3.6%
s	2181	3.5%
Other values (71)	22071	35.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61482	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5818	9.5%
a	5598	9.1%
	5039	8.2%
n	4302	7.0%
r	3921	6.4%
i	3719	6.0%
o	3333	5.4%
l	3291	5.4%
t	2209	3.6%
s	2181	3.5%
Other values (71)	22071	35.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61482	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5818	9.5%
a	5598	9.1%
	5039	8.2%
n	4302	7.0%
r	3921	6.4%
i	3719	6.0%
o	3333	5.4%
l	3291	5.4%
t	2209	3.6%
s	2181	3.5%
Other values (71)	22071	35.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61482	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5818	9.5%
a	5598	9.1%
	5039	8.2%
n	4302	7.0%
r	3921	6.4%
i	3719	6.0%
o	3333	5.4%
l	3291	5.4%
t	2209	3.6%
s	2181	3.5%
Other values (71)	22071	35.9%

facenumber_in_poster
Real number (ℝ)

ZEROS

Distinct	19
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3567935

Minimum	0
Maximum	43
Zeros	2019
Zeros (%)	42.9%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	43
Range	43
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0086637
Coefficient of variation (CV)	1.4804491
Kurtosis	55.770377
Mean	1.3567935
Median Absolute Deviation (MAD)	1
Skewness	4.5646736
Sum	6381
Variance	4.03473
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	2019	42.9%
1	1179	25.1%
2	665	14.1%
3	359	7.6%
4	190	4.0%
5	100	2.1%
6	67	1.4%
7	45	1.0%
8	34	0.7%
9	15	0.3%
Other values (9)	30	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2019	42.9%
1	1179	25.1%
2	665	14.1%
3	359	7.6%
4	190	4.0%
5	100	2.1%
6	67	1.4%
7	45	1.0%
8	34	0.7%
9	15	0.3%

Value	Count	Frequency (%)
43	1	< 0.1%
31	1	< 0.1%
19	1	< 0.1%
15	5	0.1%
14	1	< 0.1%
13	2	< 0.1%
12	4	0.1%
11	5	0.1%
10	10	0.2%
9	15	0.3%

plot_keywords
Text

Distinct	4620
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

Length

Max length	149
Median length	102
Mean length	52.40825
Min length	2

Characters and Unicode

Total characters	246476
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4541 ?
Unique (%)	96.6%

Sample

1st row	avatar\|future\|marine\|native\|paraplegic
2nd row	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore
3rd row	bomb\|espionage\|sequel\|spy\|terrorist
4th row	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot
5th row	alien\|american civil war\|male nipple\|mars\|princess

Value	Count	Frequency (%)
in	314	1.8%
of	212	1.2%
on	196	1.1%
the	185	1.1%
a	180	1.0%
to	174	1.0%
york	120	0.7%
female	102	0.6%
by	99	0.6%
based	98	0.6%
Other values (11164)	15596	90.3%

Most occurring characters

Value	Count	Frequency (%)
e	23831	9.7%
a	18830	7.6%
\|	18520	7.5%
i	17990	7.3%
r	17414	7.1%
t	15540	6.3%
n	15097	6.1%
o	14867	6.0%
s	12776	5.2%
	12573	5.1%
Other values (32)	79038	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	246476	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	23831	9.7%
a	18830	7.6%
\|	18520	7.5%
i	17990	7.3%
r	17414	7.1%
t	15540	6.3%
n	15097	6.1%
o	14867	6.0%
s	12776	5.2%
	12573	5.1%
Other values (32)	79038	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	246476	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	23831	9.7%
a	18830	7.6%
\|	18520	7.5%
i	17990	7.3%
r	17414	7.1%
t	15540	6.3%
n	15097	6.1%
o	14867	6.0%
s	12776	5.2%
	12573	5.1%
Other values (32)	79038	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	246476	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	23831	9.7%
a	18830	7.6%
\|	18520	7.5%
i	17990	7.3%
r	17414	7.1%
t	15540	6.3%
n	15097	6.1%
o	14867	6.0%
s	12776	5.2%
	12573	5.1%
Other values (32)	79038	32.1%

num_user_for_reviews
Real number (ℝ)

Distinct	953
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	284.75973

Minimum	1
Maximum	5060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	1
5-th percentile	15
Q1	75
median	166
Q3	340
95-th percentile	921.7
Maximum	5060
Range	5059
Interquartile range (IQR)	265

Descriptive statistics

Standard deviation	383.73636
Coefficient of variation (CV)	1.3475795
Kurtosis	25.963836
Mean	284.75973
Median Absolute Deviation (MAD)	113
Skewness	4.0957567
Sum	1339225
Variance	147253.59
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	30	0.6%
50	25	0.5%
32	24	0.5%
53	22	0.5%
21	22	0.5%
31	22	0.5%
14	22	0.5%
39	21	0.4%
10	21	0.4%
27	21	0.4%
Other values (943)	4473	95.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	18	0.4%
2	10	0.2%
3	17	0.4%
4	11	0.2%
5	14	0.3%
6	17	0.4%
7	12	0.3%
8	14	0.3%
9	17	0.4%
10	21	0.4%

Value	Count	Frequency (%)
5060	1	< 0.1%
4667	1	< 0.1%
4144	1	< 0.1%
3646	1	< 0.1%
3597	1	< 0.1%
3516	1	< 0.1%
3400	1	< 0.1%
3286	1	< 0.1%
3189	1	< 0.1%
3054	1	< 0.1%

country
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

USA	3575
Other	708
UK	420

Length

Max length	5
Median length	3
Mean length	3.2117797
Min length	2

Characters and Unicode

Total characters	15105
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USA
2nd row	USA
3rd row	UK
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	3575	76.0%
Other	708	15.1%
UK	420	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
usa	3575	76.0%
other	708	15.1%
uk	420	8.9%

Most occurring characters

Value	Count	Frequency (%)
U	3995	26.4%
S	3575	23.7%
A	3575	23.7%
O	708	4.7%
t	708	4.7%
h	708	4.7%
e	708	4.7%
r	708	4.7%
K	420	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15105	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	3995	26.4%
S	3575	23.7%
A	3575	23.7%
O	708	4.7%
t	708	4.7%
h	708	4.7%
e	708	4.7%
r	708	4.7%
K	420	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15105	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	3995	26.4%
S	3575	23.7%
A	3575	23.7%
O	708	4.7%
t	708	4.7%
h	708	4.7%
e	708	4.7%
r	708	4.7%
K	420	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15105	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	3995	26.4%
S	3575	23.7%
A	3575	23.7%
O	708	4.7%
t	708	4.7%
h	708	4.7%
e	708	4.7%
r	708	4.7%
K	420	2.8%

content_rating
Categorical

IMBALANCE

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	73.5 KiB

R	2234
PG-13	1419
PG	680
G	109
Not Rated	102
Other values (10)	159

Length

Max length	9
Median length	1
Mean length	2.7016798
Min length	1

Characters and Unicode

Total characters	12706
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PG-13
2nd row	PG-13
3rd row	PG-13
4th row	PG-13
5th row	PG-13

Common Values

Value	Count	Frequency (%)
R	2234	47.5%
PG-13	1419	30.2%
PG	680	14.5%
G	109	2.3%
Not Rated	102	2.2%
Unrated	57	1.2%
Approved	55	1.2%
X	13	0.3%
Passed	9	0.2%
NC-17	7	0.1%
Other values (5)	18	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	2234	46.5%
pg-13	1419	29.5%
pg	680	14.2%
g	109	2.3%
not	102	2.1%
rated	102	2.1%
unrated	57	1.2%
approved	55	1.1%
x	13	0.3%
passed	9	0.2%
Other values (6)	25	0.5%

Most occurring characters

Value	Count	Frequency (%)
R	2336	18.4%
G	2218	17.5%
P	2115	16.6%
-	1433	11.3%
1	1429	11.2%
3	1419	11.2%
t	261	2.1%
e	223	1.8%
d	223	1.8%
a	168	1.3%
Other values (17)	881	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12706	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	2336	18.4%
G	2218	17.5%
P	2115	16.6%
-	1433	11.3%
1	1429	11.2%
3	1419	11.2%
t	261	2.1%
e	223	1.8%
d	223	1.8%
a	168	1.3%
Other values (17)	881	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12706	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	2336	18.4%
G	2218	17.5%
P	2115	16.6%
-	1433	11.3%
1	1429	11.2%
3	1419	11.2%
t	261	2.1%
e	223	1.8%
d	223	1.8%
a	168	1.3%
Other values (17)	881	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12706	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	2336	18.4%
G	2218	17.5%
P	2115	16.6%
-	1433	11.3%
1	1429	11.2%
3	1419	11.2%
t	261	2.1%
e	223	1.8%
d	223	1.8%
a	168	1.3%
Other values (17)	881	6.9%

budget
Real number (ℝ)

SKEWED

Distinct	432
Distinct (%)	9.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39306827

Minimum	218
Maximum	1.22155 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	218
5-th percentile	800000
Q1	7500000
median	20000000
Q3	40000000
95-th percentile	1.25 × 10⁸
Maximum	1.22155 × 10¹⁰
Range	1.22155 × 10¹⁰
Interquartile range (IQR)	32500000

Descriptive statistics

Standard deviation	2.02669 × 10⁸
Coefficient of variation (CV)	5.1560762
Kurtosis	2820.5211
Mean	39306827
Median Absolute Deviation (MAD)	15000000
Skewness	49.023957
Sum	1.8486001 × 10¹¹
Variance	4.1074723 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	442	9.4%
30000000	145	3.1%
15000000	141	3.0%
25000000	139	3.0%
10000000	137	2.9%
40000000	131	2.8%
35000000	120	2.6%
50000000	104	2.2%
5000000	102	2.2%
60000000	94	2.0%
Other values (422)	3148	66.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
218	1	< 0.1%
1100	1	< 0.1%
4500	1	< 0.1%
7000	3	0.1%
9000	1	< 0.1%
10000	2	< 0.1%
14000	1	< 0.1%
15000	2	< 0.1%
20000	3	0.1%
22000	1	< 0.1%

Value	Count	Frequency (%)
1.22155 × 10¹⁰	1	< 0.1%
4200000000	1	< 0.1%
2500000000	1	< 0.1%
2400000000	1	< 0.1%
2127519898	1	< 0.1%
1100000000	1	< 0.1%
1000000000	1	< 0.1%
700000000	2	< 0.1%
600000000	1	< 0.1%
553632000	1	< 0.1%

title_year
Real number (ℝ)

Distinct	91
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2002.1112

Minimum	1916
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	1916
5-th percentile	1978
Q1	1999
median	2005
Q3	2010
95-th percentile	2015
Maximum	2016
Range	100
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	12.50241
Coefficient of variation (CV)	0.0062446132
Kurtosis	7.3909201
Mean	2002.1112
Median Absolute Deviation (MAD)	6
Skewness	-2.2877603
Sum	9415929
Variance	156.31026
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2009	252	5.4%
2006	235	5.0%
2008	222	4.7%
2010	221	4.7%
2011	215	4.6%
2005	215	4.6%
2014	214	4.6%
2013	213	4.5%
2004	206	4.4%
2012	203	4.3%
Other values (81)	2507	53.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1916	1	< 0.1%
1920	1	< 0.1%
1925	1	< 0.1%
1927	1	< 0.1%
1929	2	< 0.1%
1930	1	< 0.1%
1932	1	< 0.1%
1933	2	< 0.1%
1934	1	< 0.1%
1935	1	< 0.1%

Value	Count	Frequency (%)
2016	82	1.7%
2015	183	3.9%
2014	214	4.6%
2013	213	4.5%
2012	203	4.3%
2011	215	4.6%
2010	221	4.7%
2009	252	5.4%
2008	222	4.7%
2007	197	4.2%

actor_2_fb_likes
Real number (ℝ)

Distinct	906
Distinct (%)	19.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1718.748

Minimum	0
Maximum	137000
Zeros	32
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	32.1
Q1	298.5
median	617
Q3	931
95-th percentile	11000
Maximum	137000
Range	137000
Interquartile range (IQR)	632.5

Descriptive statistics

Standard deviation	4136.4756
Coefficient of variation (CV)	2.4066794
Kurtosis	249.6205
Mean	1718.748
Median Absolute Deviation (MAD)	316
Skewness	9.7679393
Sum	8083272
Variance	17110430
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	296	6.3%
11000	110	2.3%
2000	98	2.1%
3000	74	1.6%
10000	46	1.0%
14000	40	0.9%
13000	40	0.9%
826	37	0.8%
4000	33	0.7%
0	32	0.7%
Other values (896)	3897	82.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32	0.7%
2	11	0.2%
3	9	0.2%
4	10	0.2%
5	8	0.2%
6	7	0.1%
7	2	< 0.1%
8	9	0.2%
9	12	0.3%
10	8	0.2%

Value	Count	Frequency (%)
137000	1	< 0.1%
29000	1	< 0.1%
27000	2	< 0.1%
25000	3	0.1%
23000	6	0.1%
22000	11	0.2%
21000	3	0.1%
20000	6	0.1%
19000	7	0.1%
18000	9	0.2%

imdb_score
Real number (ℝ)

Distinct	76
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4313842

Minimum	1.6
Maximum	9.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	1.6
5-th percentile	4.4
Q1	5.8
median	6.6
Q3	7.2
95-th percentile	8
Maximum	9.3
Range	7.7
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.098782
Coefficient of variation (CV)	0.17084689
Kurtosis	1.0533928
Mean	6.4313842
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7682876
Sum	30246.8
Variance	1.2073219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	212	4.5%
6.6	191	4.1%
6.5	181	3.8%
7.2	181	3.8%
6.4	180	3.8%
6.8	177	3.8%
7.3	175	3.7%
7.1	173	3.7%
7	173	3.7%
6.1	173	3.7%
Other values (66)	2887	61.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.6	1	< 0.1%
1.7	1	< 0.1%
1.9	3	0.1%
2	2	< 0.1%
2.1	3	0.1%
2.2	3	0.1%
2.3	3	0.1%
2.4	2	< 0.1%
2.5	2	< 0.1%
2.6	1	< 0.1%

Value	Count	Frequency (%)
9.3	1	< 0.1%
9.2	1	< 0.1%
9	2	< 0.1%
8.9	5	0.1%
8.8	5	0.1%
8.7	8	0.2%
8.6	11	0.2%
8.5	21	0.4%
8.4	23	0.5%
8.3	34	0.7%

aspect_ratio
Real number (ℝ)

Distinct	20
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1255305

Minimum	1.18
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	1.18
5-th percentile	1.78
Q1	1.85
median	2.35
Q3	2.35
95-th percentile	2.35
Maximum	16
Range	14.82
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.63838629
Coefficient of variation (CV)	0.3003421
Kurtosis	377.18399
Mean	2.1255305
Median Absolute Deviation (MAD)	0
Skewness	17.406589
Sum	9996.37
Variance	0.40753706
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2.35	2499	53.1%
1.85	1870	39.8%
1.37	97	2.1%
1.78	79	1.7%
1.66	63	1.3%
1.33	37	0.8%
2.2	14	0.3%
2.39	14	0.3%
16	8	0.2%
2	4	0.1%
Other values (10)	18	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.18	1	< 0.1%
1.2	1	< 0.1%
1.33	37	0.8%
1.37	97	2.1%
1.44	1	< 0.1%
1.5	2	< 0.1%
1.66	63	1.3%
1.75	3	0.1%
1.77	1	< 0.1%
1.78	79	1.7%

Value	Count	Frequency (%)
16	8	0.2%
2.76	3	0.1%
2.55	2	< 0.1%
2.4	3	0.1%
2.39	14	0.3%
2.35	2499	53.1%
2.24	1	< 0.1%
2.2	14	0.3%
2	4	0.1%
1.85	1870	39.8%

movie_fb_likes
Real number (ℝ)

ZEROS

Distinct	836
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7779.7997

Minimum	0
Maximum	349000
Zeros	2086
Zeros (%)	44.4%
Negative	0
Negative (%)	0.0%
Memory size	73.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	181
Q3	5000
95-th percentile	41900
Maximum	349000
Range	349000
Interquartile range (IQR)	5000

Descriptive statistics

Standard deviation	19611.482
Coefficient of variation (CV)	2.520821
Kurtosis	40.309513
Mean	7779.7997
Median Absolute Deviation (MAD)	181
Skewness	4.9742692
Sum	36588398
Variance	3.8461023 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2086	44.4%
1000	103	2.2%
11000	80	1.7%
10000	79	1.7%
12000	59	1.3%
13000	58	1.2%
2000	54	1.1%
15000	51	1.1%
14000	46	1.0%
16000	46	1.0%
Other values (826)	2041	43.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2086	44.4%
4	2	< 0.1%
5	1	< 0.1%
7	2	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	2	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
17	3	0.1%

Value	Count	Frequency (%)
349000	1	< 0.1%
199000	1	< 0.1%
197000	1	< 0.1%
191000	1	< 0.1%
190000	1	< 0.1%
175000	1	< 0.1%
165000	1	< 0.1%
164000	1	< 0.1%
153000	1	< 0.1%
150000	1	< 0.1%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	director_name	num_critic_for_reviews	duration	director_fb_likes	actor_3_fb_likes	actor_2_name	actor_1_fb_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_fb_likes	actor_3_name	facenumber_in_poster	plot_keywords	num_user_for_reviews	country	content_rating	budget	title_year	actor_2_fb_likes	imdb_score	aspect_ratio	movie_fb_likes
0	James Cameron	723.0	178.0	0.0	855.0	Joel David Moore	1000.0	760505847.0	Action\|Adventure\|Fantasy\|Sci-Fi	CCH Pounder	Avatar	886204	4834	Wes Studi	0.0	avatar\|future\|marine\|native\|paraplegic	3054.0	USA	PG-13	237000000.0	2009.0	936.0	7.9	1.78	33000
1	Gore Verbinski	302.0	169.0	563.0	1000.0	Orlando Bloom	40000.0	309404152.0	Action\|Adventure\|Fantasy	Johnny Depp	Pirates of the Caribbean: At World's End	471220	48350	Jack Davenport	0.0	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore	1238.0	USA	PG-13	300000000.0	2007.0	5000.0	7.1	2.35	0
2	Sam Mendes	602.0	148.0	0.0	161.0	Rory Kinnear	11000.0	200074175.0	Action\|Adventure\|Thriller	Christoph Waltz	Spectre	275868	11700	Stephanie Sigman	1.0	bomb\|espionage\|sequel\|spy\|terrorist	994.0	UK	PG-13	245000000.0	2015.0	393.0	6.8	2.35	85000
3	Christopher Nolan	813.0	164.0	22000.0	23000.0	Christian Bale	27000.0	448130642.0	Action\|Thriller	Tom Hardy	The Dark Knight Rises	1144337	106759	Joseph Gordon-Levitt	0.0	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot	2701.0	USA	PG-13	250000000.0	2012.0	23000.0	8.5	2.35	164000
5	Andrew Stanton	462.0	132.0	475.0	530.0	Samantha Morton	640.0	73058679.0	Action\|Adventure\|Sci-Fi	Daryl Sabara	John Carter	212204	1873	Polly Walker	1.0	alien\|american civil war\|male nipple\|mars\|princess	738.0	USA	PG-13	263700000.0	2012.0	632.0	6.6	2.35	24000
6	Sam Raimi	392.0	156.0	0.0	4000.0	James Franco	24000.0	336530303.0	Action\|Adventure\|Romance	J.K. Simmons	Spider-Man 3	383056	46055	Kirsten Dunst	0.0	sandman\|spider man\|symbiote\|venom\|villain	1902.0	USA	PG-13	258000000.0	2007.0	11000.0	6.2	2.35	0
7	Nathan Greno	324.0	100.0	15.0	284.0	Donna Murphy	799.0	200807262.0	Adventure\|Animation\|Comedy\|Family\|Fantasy\|Musical\|Romance	Brad Garrett	Tangled	294810	2036	M.C. Gainey	1.0	17th century\|based on fairy tale\|disney\|flower\|tower	387.0	USA	PG	260000000.0	2010.0	553.0	7.8	1.85	29000
8	Joss Whedon	635.0	141.0	0.0	19000.0	Robert Downey Jr.	26000.0	458991599.0	Action\|Adventure\|Sci-Fi	Chris Hemsworth	Avengers: Age of Ultron	462669	92000	Scarlett Johansson	4.0	artificial intelligence\|based on comic book\|captain america\|marvel cinematic universe\|superhero	1117.0	USA	PG-13	250000000.0	2015.0	21000.0	7.5	2.35	118000
9	David Yates	375.0	153.0	282.0	10000.0	Daniel Radcliffe	25000.0	301956980.0	Adventure\|Family\|Fantasy\|Mystery	Alan Rickman	Harry Potter and the Half-Blood Prince	321795	58753	Rupert Grint	3.0	blood\|book\|love\|potion\|professor	973.0	UK	PG	250000000.0	2009.0	11000.0	7.5	2.35	10000
10	Zack Snyder	673.0	183.0	0.0	2000.0	Lauren Cohan	15000.0	330249062.0	Action\|Adventure\|Sci-Fi	Henry Cavill	Batman v Superman: Dawn of Justice	371639	24450	Alan D. Purwin	0.0	based on comic book\|batman\|sequel to a reboot\|superhero\|superman	3018.0	USA	PG-13	250000000.0	2016.0	4000.0	6.9	2.35	197000

	director_name	num_critic_for_reviews	duration	director_fb_likes	actor_3_fb_likes	actor_2_name	actor_1_fb_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_fb_likes	actor_3_name	facenumber_in_poster	plot_keywords	num_user_for_reviews	country	content_rating	budget	title_year	actor_2_fb_likes	imdb_score	aspect_ratio	movie_fb_likes
5026	Olivier Assayas	81.0	110.0	107.0	45.0	Béatrice Dalle	576.0	136007.0	Drama\|Music\|Romance	Maggie Cheung	Clean	3924	776	Don McKellar	1.0	jail\|junkie\|money\|motel\|singer	39.0	Other	R	4500.0	2004.0	133.0	6.9	2.35	171
5027	Jafar Panahi	64.0	90.0	397.0	0.0	Nargess Mamizadeh	5.0	673780.0	Drama	Fereshteh Sadre Orafaiy	The Circle	4555	5	Mojgan Faramarzi	0.0	abortion\|bus\|hospital\|prison\|prostitution	26.0	Other	Not Rated	10000.0	2000.0	0.0	7.5	1.85	697
5029	Kiyoshi Kurosawa	78.0	111.0	62.0	6.0	Anna Nakagawa	89.0	94596.0	Crime\|Horror\|Mystery\|Thriller	Kôji Yakusho	The Cure	6318	115	Denden	0.0	breasts\|interrogation\|investigation\|murder\|watching television	50.0	Other	R	1000000.0	1997.0	13.0	7.4	1.85	817
5032	Ash Baron-Cohen	10.0	98.0	3.0	152.0	Stanley B. Herman	789.0	24848292.0	Crime\|Drama	Peter Greene	Bang	438	1186	James Noble	1.0	corruption\|homeless\|homeless man\|motorcycle\|urban legend	14.0	USA	R	20000000.0	1995.0	194.0	6.4	2.35	20
5033	Shane Carruth	143.0	77.0	291.0	8.0	David Sullivan	291.0	424760.0	Drama\|Sci-Fi\|Thriller	Shane Carruth	Primer	72639	368	Casey Gooden	0.0	changing the future\|independent film\|invention\|nonlinear timeline\|time travel	371.0	USA	PG-13	7000.0	2004.0	45.0	7.0	1.85	19000
5034	Neill Dela Llana	35.0	80.0	0.0	0.0	Edgar Tancangco	0.0	70071.0	Thriller	Ian Gamazon	Cavite	589	0	Quynn Ton	0.0	jihad\|mindanao\|philippines\|security guard\|squatter	35.0	Other	Not Rated	7000.0	2005.0	0.0	6.3	2.35	74
5035	Robert Rodriguez	56.0	81.0	0.0	6.0	Peter Marquardt	121.0	2040920.0	Action\|Crime\|Drama\|Romance\|Thriller	Carlos Gallardo	El Mariachi	52055	147	Consuelo Gómez	0.0	assassin\|death\|guitar\|gun\|mariachi	130.0	USA	R	7000.0	1992.0	20.0	6.9	1.37	0
5037	Edward Burns	14.0	95.0	0.0	133.0	Caitlin FitzGerald	296.0	4584.0	Comedy\|Drama	Kerry Bishé	Newlyweds	1338	690	Daniella Pineda	1.0	written and directed by cast member	14.0	USA	Not Rated	9000.0	2011.0	205.0	6.4	2.35	413
5038	Scott Smith	1.0	87.0	2.0	318.0	Daphne Zuniga	637.0	24848292.0	Comedy\|Drama	Eric Mabius	Signed Sealed Delivered	629	2283	Crystal Lowe	2.0	fraud\|postal worker\|prison\|theft\|trial	6.0	Other	R	20000000.0	2013.0	470.0	7.7	2.35	84
5042	Jon Gunn	43.0	90.0	16.0	16.0	Brian Herzlinger	86.0	85222.0	Documentary	John August	My Date with Drew	4285	163	Jon Gunn	0.0	actress name in title\|crush\|date\|four word title\|video camera	84.0	USA	PG	1100.0	2004.0	23.0	6.6	1.85	456

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts